fcc7d8dd4e
Fix modules/ typos
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Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`
backporting of commit: ec43292e1e
2019-08-16 17:34:29 +03:00
5c56b8ce92
java: generated code to have javadoc
2019-06-05 12:44:03 +02:00
621e3eaed8
Add Ptr KNearest::load and python binding
2019-04-16 16:32:37 +02:00
5d9c6723ee
spelling fixes
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backport 997b7b18af
2019-02-11 15:35:10 +03:00
6e84abc746
ml: don't use "getSubVector()" with 2D matrix
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It is designed for 1D vectors only
2018-08-18 20:50:36 +00:00
4d0dd3e509
ml: apply CV_OVERRIDE/CV_FINAL
2018-03-28 18:43:27 +03:00
e805a55a5b
Misc. modules/ typos (cont.)
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Found via `codespell`
2018-02-12 10:15:36 -05:00
289a8da39e
ml: simplify interfaces of SimulatedAnnealingSolver
2017-12-22 16:35:48 +03:00
aef3019152
ml: fix SimulatedAnnealingSolver interface
2017-12-15 21:44:32 +03:00
0a439570a0
Move SimulatedAnnealingSolver::Impl in cpp file. Fix some typos.
2017-12-15 14:09:59 +01:00
7ad308ea47
Simulated Annealing for ANN_MLP training method ( #10213 )
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* Simulated Annealing for ANN_MLP training method
* EXPECT_LT
* just to test new data
* manage RNG
* Try again
* Just run buildbot with new data
* try to understand
* Test layer
* New data- new test
* Force RNG in backprop
* Use Impl to avoid virtual method
* reset all weights
* try to solve ABI
* retry
* ABI solved?
* till problem with dynamic_cast
* Something is wrong
* Solved?
* disable backprop test
* remove ANN_MLP_ANNEALImpl
* Disable weight in varmap
* Add example for SimulatedAnnealing
2017-12-15 13:57:39 +03:00
a44573c43b
Add ReLU and LeakyReLU activation function in ml module
2017-11-28 11:02:05 +01:00
f70cc29edb
export SVM::trainAuto to python #7224 ( #8373 )
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* export SVM::trainAuto to python #7224
* workaround for ABI compatibility of SVM::trainAuto
* add parameter comments to new SVM::trainAuto function
* Export ParamGrid member variables
2017-03-23 16:00:19 +03:00
195c12f2db
ml: remove useless namespace identifiers in SVM
2017-03-07 16:02:19 +03:00
e0ee2f769a
Merge pull request #8116 from mrquorr:master
2017-03-02 11:07:23 +00:00
d8425d8881
finished for one sample
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Finished with several samples support, need regression testing
Gave a more relevant name to function (getVotes)
Finished implicit implementation
Removed printf, finished regresion testing
Fixed conversion warning
Finished test for Rtrees
Fixed documentation
Initialized variable
Added doxygen documentation
Added parameter name
2017-02-28 11:14:33 -06:00
13dffa0017
Merge pull request #8103 from sovrasov:em_docs_update
2017-01-31 09:10:37 +00:00
a789c08588
ml::EM: add documentation for predict() method
2017-01-30 17:38:13 +03:00
75533fcd06
Merge pull request #8098 from chrizandr:Tree_load_Wrapper
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Add wrappers for load functions for DTrees and Boost classifiers
2017-01-30 17:25:23 +03:00
519fbdb8ab
Wrappers for load methods of EM, LR, SVMSGD and Normal Bayes Classifier
2017-01-29 18:51:55 +05:30
d22df8c41f
Add wrappers for load functions for DTrees and Boost classifiers
2017-01-29 15:55:38 +05:30
e3ec3566d9
RTrees: Add wrapper for RTrees_load method to enable loading trained RTrees
2017-01-19 17:16:45 +05:30
991c41c849
Merge pull request #7371 from mshabunin:aruco-java-wrap
2016-10-01 15:38:59 +00:00
1c18b1d245
Merge pull request #7370 from souch55:Fixxn
2016-10-01 10:44:56 +00:00
7a7a2749e0
Fixed java wrappers
2016-09-30 16:21:04 +03:00
a34fbf7bb1
Fixed identifiers warns
2016-09-30 15:16:29 +05:30
40b870704e
add 2 extra methods to ml::TrainData ( #7169 )
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* expose 2 extra methods from ml::TrainData: getNames() and getVarSymbolFlags(). The first one returns text labels from CSV (if the data has been loaded from CSV); the second one returns a matrix of boolean values; its n-th element is 1 iff the corresponding column in the CSV uses symbolic names, not numbers.
* check that the dynamic_cast succeeds
2016-08-26 16:25:46 +04:00
ef45005056
Adding support for pointer generation. Fixes #6605
2016-05-31 08:35:50 +02:00
fbc221d334
Merge pull request #6096 from mnoskova:mn/SVMSGD_to_opencv3_0
2016-03-12 17:16:35 +00:00
3f0a51bda1
Fixed documentation.
2016-02-26 14:40:23 +03:00
53711ec29d
Deleted default value for parameters in docs.
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Added some asserts.
2016-02-25 19:12:54 +03:00
d484893839
Deleted functions makeTrainData() and makeTestData() in test_svmsgd.cpp.
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Added function makeData() in test_svmsgd.cpp.
2016-02-25 16:57:03 +03:00
74c87a26a5
Delete function areClassesEmpty().
2016-02-25 15:31:07 +03:00
068677ad50
Fixed documentation.
2016-02-24 14:41:51 +03:00
9d9a5bbbfd
Fixed documentation.
2016-02-24 13:33:43 +03:00
f3c4a6aab8
Rename parameters lambda, gamma0 and c.
2016-02-24 13:22:07 +03:00
02cd8cf039
Deleted illegal type values.
2016-02-15 15:09:59 +03:00
ff54952769
Corrected spelling mistakes
2016-02-15 14:35:36 +03:00
54abb83c82
ml: moved getTestSamples implementation to src
2016-02-12 12:32:26 +03:00
15793b1301
add TestData::getTestSamples()
2016-02-12 12:11:10 +03:00
5496dedd6a
Fixed warnings.
2016-02-10 19:46:24 +03:00
0307dd19fd
Minor fix in declaration of SVMSGD::setOptimalParameters
2016-02-10 18:21:45 +03:00
617dd5db5b
Fixed doc/opencv.bib
2016-02-10 17:57:36 +03:00
bfdca05f25
Added margin type, added tests with different scales of features.
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Also fixed documentation, refactored sample.
2016-02-10 16:59:12 +03:00
acd74037b3
Increasing the dimension of features space in the SVMSGD::train function.
2016-02-10 16:59:11 +03:00
40bf97c6d1
Refactored SVMSGD class
2016-02-10 16:56:14 +03:00
a2f0963d66
SVMSGD class added
2016-02-10 16:53:15 +03:00
3f172731b2
added wrapped load function for python as suggested by gat3way
2016-01-11 10:59:15 +01:00
66eda72f66
fixed a doxygen issue
2016-01-07 08:19:06 +01:00
6c8bc6a25b
fixed ABI incompatibilities as proposed by alalek
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related to issue 4969
fixes issue 5891
fixes issue 5922
2016-01-07 08:00:01 +01:00
luz.paz